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Lita is a small library, that uses unified and remark to create an easy to use interface to literary programming in Javascript. It is meant to be used by other tools, but if it suits your needs - feel free to abuse it!
$ npm install lita
const lita = require('lita')
lita(input: string [, options: object ]) -> string
Lita accepts a Markdown formated string and returns all of the code blocks concatenated together.
To extend the functionality a bit, I have added two simple macros into the markdown syntax. Both of them can be used only inside a code block.
define
- //= <name>
At the beginning of a code block, binds a code block to a name
, so it can be used later. Code is not included in the final output if it isn't import
ed anywhere.
import
- //: <name>
Anywhere in the code block, imports a code block defined earlier. It can be called multiple times for the same named code block.
const lita = require('lita') // first, import `lita` into your project
const fs = require('fs')
const util = require('util')
const readFile = util.promisify(fs.readFile)
const writeFile = util.promisify(fs.writeFile)
async function main () {
// somehow obtain a string that contains markdown with code blocks
let text = await readFile('./index.js.md', 'utf8')
// lita is a function that accepts a markdown string and returns a javascript file string
let result = lita(text)
// do something with resultant code
await writeFile('./index.js', result)
}
main().then(() => {
}).catch(err => { // always remember to handle your errors!
console.error(err)
})
FAQs
Literary programming in modern Javascript
The npm package lita receives a total of 1 weekly downloads. As such, lita popularity was classified as not popular.
We found that lita demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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Socket MCP brings real-time security checks to AI-generated code, helping developers catch risky dependencies before they enter the codebase.
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